---
title: "Open Access Dashboard "
output: 
  flexdashboard::flex_dashboard:
    orientation: rows
    vertical_layout: scroll
    source_code: embed
    
# author: Jan Taubitz
# email: jan.taubitz@charite.de
---

```{r setup, include=FALSE}
library(flexdashboard)

source("data_1.R", encoding = 'UTF-8')
source("rcrossref.R", encoding = 'UTF-8')
```




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### 2018 - Open Access-Status von Artikeln mit Charité-Corresponding Author

```{r}
item_2018
```

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### 2019 - Open Access-Status von Artikeln mit Charité-Corresponding Author

```{r}
item_2019
```
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### 2020 - Open Access-Status von Artikeln mit Charité-Corresponding Author

```{r}
item_2020
```


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### Analyse 1

 Open Access-Status von Artikeln mit Charité-Beteiligung insgesamt und von Artikeln mit Charité-Corresponding Author 2018 - 2019


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### Artikel mit Charité-Beteiligung

```{r}
status_percent
```

### Artikel mit Charité-Corresponding Author

```{r}
status_corresponding_percent
```


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### Analyse 2

 Open Access-Status von Artikeln mit Charité-Beteiligung auf Journal-Ebene im Jahr 2020 


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### Open access status in absolute numbers

```{r}
journal_absolute
```

### Open access status in %

```{r}
journal_percent
```

Row 
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```{r}
########################### Analysis ###########################

# Percent of article that were oa
# Percent of article with Corresponding author
# Percent of articles that were published in a doaj-journal

load("data/data_unpaywall.Rda")

is_oa <- sort(table(data_unpaywall$is_oa), decreasing = TRUE)
is_oa <- round(9427/sum(is_oa)*100, 1)

is_doaj <- sort(table(data_unpaywall$journal_is_in_doaj), decreasing = TRUE)
is_doaj <- round(4152/sum(is_doaj)*100, 1)

is_corresponding <- sort(table(data$corresponding_author_cha), decreasing = TRUE)
is_corresponding <- round(6292/sum(is_corresponding)*100, 1)
```


### Open Access-Artikel 2018-2020

```{r}
rate <- is_oa
gauge(rate, min = 0, max = 100, symbol = ' %', label= "Daten von Unpaywall", gaugeSectors(
  success = c(50, 100), warning = c(30, 49), danger = c(0, 29)
))
```

### Autor ist Corresponding 2018-2020

```{r}
rate <- is_corresponding
gauge(rate, min = 0, max = 100, symbol = ' %', label= "Daten von Medbib", gaugeSectors(
  success = c(40, 100), warning = c(30, 39), danger = c(0, 29)
))
```

### Journal ist DOAJ 2018-2020

```{r}
rate <- is_doaj
gauge(rate, min = 0, max = 100, symbol = ' %', label= "Daten von Unpaywall", gaugeSectors(
  success = c(50, 100), warning = c(20, 49), danger = c(0, 19)
))
```



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### Analyse 3

 Median und Mittelwert der Zitierungen von den 2018 publizierten Artikeln mit Charité-Beteiligung (Daten von Crossref)

Row 
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###

```{r}
median_citation
```

###

```{r}
mean_citation
```


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### Analyse 3

 Lizenzen der 2018-2019 publizierten Artikeln mit Charité-Beteiligung

Row 
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###

```{r}
load("charts/chart_lizenzen.Rda")
chart_lizenzen
```

###